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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Sort Embassy Flickr Images"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"from pathlib import Path\n",
"import shutil\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"fp_files = '/data_store/datasets/msc/embassies/embassy_counts_images.csv'\n",
"fp_dir_dst = '/data_store/datasets/msc/images_sorted/'\n",
"fp_dir_src = '/data_store/datasets/msc/images/'"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"df_flickr = pd.read_csv(fp_files)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"groups_username = df_flickr.groupby('path_alias')"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"for group_username, df_group in groups_username:\n",
" for idx, df in df_group.iterrows():\n",
" fp_dst = Path(fp_dir_dst) / group_username / df.dataset_key\n",
" fp_src = Path(fp_dir_src) / df.filepath\n",
" if fp_src.exists():\n",
" fp_dst.mkdir(exist_ok=True, parents=True)\n",
" shutil.copy(fp_src, fp_dst)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "megapixels",
"language": "python",
"name": "megapixels"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|
